Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
The Alignment Tax: Response Homogenization in Aligned LLMs and Its Implications for Uncertainty Estimation
arXiv:2603.24124v1 Announce Type: cross Abstract: RLHF-aligned language models exhibit response homogenization: on TruthfulQA (n=790), 40-79% of questions produce a single…
Upper Entropy for 2-Monotone Lower Probabilities
arXiv:2603.23558v1 Announce Type: cross Abstract: Uncertainty quantification is a key aspect in many tasks such as model selection/regularization, or quantifying…
PLDR-LLMs Reason At Self-Organized Criticality
arXiv:2603.23539v1 Announce Type: new Abstract: We show that PLDR-LLMs pretrained at self-organized criticality exhibit reasoning at inference time. The characteristics…
Mind Your HEARTBEAT! Claw Background Execution Inherently Enables Silent Memory Pollution
arXiv:2603.23064v2 Announce Type: replace-cross Abstract: We identify a critical security vulnerability in mainstream Claw personal AI agents: untrusted content encountered…
Cost-Sensitive Neighborhood Aggregation for Heterophilous Graphs: When Does Per-Edge Routing Help?
arXiv:2603.24291v1 Announce Type: cross Abstract: Recent work distinguishes two heterophily regimes: adversarial, where cross-class edges dilute class signal and harm…
The Specification Gap: Coordination Failure Under Partial Knowledge in Code Agents
arXiv:2603.24284v1 Announce Type: cross Abstract: When multiple LLM-based code agents independently implement parts of the same class, they must agree…
Tiny Inference-Time Scaling with Latent Verifiers
arXiv:2603.22492v2 Announce Type: replace-cross Abstract: Inference-time scaling has emerged as an effective way to improve generative models at test time…
Memory Bear AI Memory Science Engine for Multimodal Affective Intelligence: A Technical Report
arXiv:2603.22306v1 Announce Type: new Abstract: Affective judgment in real interaction is rarely a purely local prediction problem. Emotional meaning often…
Beyond Matching to Tiles: Bridging Unaligned Aerial and Satellite Views for Vision-Only UAV Navigation
arXiv:2603.22153v2 Announce Type: replace-cross Abstract: Recent advances in cross-view geo-localization (CVGL) methods have shown strong potential for supporting unmanned aerial…
Set-Valued Prediction for Large Language Models with Feasibility-Aware Coverage Guarantees
arXiv:2603.22966v1 Announce Type: cross Abstract: Large language models (LLMs) inherently operate over a large generation space, yet conventional usage typically…